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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 21822
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    INDEX
    Explanations

    words related to expressing emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    negative constructions and expressions of disbelief or frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ranged
    -0.74
    aldi
    -0.71
     arsen
    -0.71
    DragonMagazine
    -0.69
    door
    -0.65
    imity
    -0.64
    pires
    -0.61
    naires
    -0.60
     espionage
    -0.60
     spawns
    -0.60
    POSITIVE LOGITS
     imagine
    1.12
    athom
    1.07
     believe
    1.02
     remember
    0.99
     conceive
    0.96
     condone
    0.96
     reconcile
    0.95
     emphasize
    0.94
     describe
    0.92
     afford
    0.92
    Activations Density 0.065%

    No Known Activations